The nurse scheduling problem in different work shifts in medical centers is one of the important issues in health systems and has a great impact on the satisfaction of all stakeholders in this field. In general, nurses have different preferences for working in the morning, evening, and night shifts, and there are considerations for overtime and activity on holidays. On the other hand, the requirements for the presence of experienced and inexperienced nurses in one shift, the scheduling of nurses in hospitals have faced several challenges. Conditions during the Covid-19 pandemic cause various problems such as fatigue due to high workload or nurses suffering from this disease, which leads to a shortage of the required number of nurses in work shifts that use skilled floating nurses in shifts. Various, in case of shortage of manpower, are among the appropriate solutions. Also, equipping nurses with appropriate equipment to deal with coronary heart disease such as gowns, masks, etc. is mandatory and costly for hospitals in the context of the Quid 19 pandemic. Therefore, in this study, the issue of nurses' scheduling in hospitals has been considered by considering the above conditions. Intending to minimize deviations from fixed nurses' preferences for shifts, fixed nurses' wage costs during normal hours and overtime, floating nurses' wages, and finally equipment costs, a complex integer mathematical programming model for scheduling nurses in the Kwand Pandemic conditions. 19 presented. Assuming that the number of nurses required per shift and working day is uncertain due to uncertainty in the number of patients with Covid-19 disease, the mathematical model is randomly planned and the production methods and scenario reduction, based on data produced in the software Gomez is solved. Numerical results related to two definite and non-definite models have been studied and the sensitivity has been analyzed and the effect of different parameters on the objective function has been measured. Evaluation of two definite and random models based on the relative distance between the values of the objective functions of the two models has shown that it is important to pay attention to the uncertainty and application of the random planning model in nurses' scheduling in the Quidd-19 pandemic. Also, a case study was performed on a hospital located in Mazandaran province and the attendance plan of nurses in different shifts in a limited time horizon is presented.
The
nurse
scheduling
problem in
different
work
shifts
in medical centers is one of the
important
issues in health systems and has a great impact on the satisfaction of all stakeholders in this field.
In general
,
nurses
have
different
preferences for working in the morning, evening, and night
shifts
, and there are considerations for overtime and activity on holidays.
On the other hand
, the requirements for the presence of experienced and inexperienced
nurses
in one
shift
, the
scheduling
of
nurses
in
hospitals
have faced several challenges. Conditions during the Covid-19 pandemic cause various problems such as fatigue due to high workload or
nurses
suffering from this disease, which leads to a shortage of the required number of
nurses
in work
shifts
that
use
skilled floating
nurses
in
shifts
. Various, in case of shortage of manpower, are among the appropriate solutions.
Also
, equipping
nurses
with appropriate equipment to deal with coronary heart disease such as gowns, masks, etc. is mandatory and costly for
hospitals
in the context of the Quid 19 pandemic.
Therefore
, in this study, the issue of
nurses'
scheduling
in
hospitals
has
been considered
by considering the above conditions. Intending to minimize deviations from
fixed
nurses'
preferences for
shifts
,
fixed
nurses'
wage costs during normal hours and overtime, floating
nurses'
wages, and
finally
equipment costs, a complex integer mathematical programming
model
for
scheduling
nurses
in the
Kwand
Pandemic conditions. 19 presented. Assuming that the number of
nurses
required per
shift
and working day is uncertain due to uncertainty in the number of patients with Covid-19 disease, the mathematical
model
is
randomly
planned and the production methods and scenario reduction, based on data produced in the software Gomez
is solved
. Numerical results related to two
definite
and non-
definite
models
have
been studied
and the sensitivity has
been analyzed
and the effect of
different
parameters on the objective function has
been measured
. Evaluation of two
definite
and random
models
based on the relative distance between the values of the objective functions of the two
models
has shown that it is
important
to pay attention to the uncertainty and application of the random planning
model
in
nurses'
scheduling
in the Quidd-19 pandemic.
Also
, a case study
was performed
on a
hospital
located in
Mazandaran
province and the attendance plan of
nurses
in
different
shifts
in a limited time horizon
is presented
.